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Product Data Engineer

Spacetalk is an ASX-listed technology company dedicated to creating innovative and life-enhancing connected mobile services, wearables, and software for families and seniors. Our products enable people to stay connected, safe, and engaged no matter their age or stage in life; enabled by location, health and wellbeing data.  

We’re transitioning from a hardware-led business to a software-first SaaS model, driven by data, integrations, sensors, predictive analytics and AI.  

With a global presence (already live in Australia, New Zealand, America and Europe) and an expanding product line, Spacetalk is evolving rapidly as we continue to scale our international footprint.  

Why This Role Matters  

As a Product Data Engineer, you will play a key role in shaping Spacetalk’s data capabilities. This is a first boots on the ground role of its type providing a great springboard for career growth in an important impact led field. It will be a hands-on role that will expose you to cutting-edge data initiatives, including: 

  • Establishing and optimising our new data lakehouse and insights platform 
  • Co-developing AI models for health and safety event detection and life event prediction 
  • Building bespoke data solutions that extract valuable insights to improve user safety 

This is an opportunity to work with experienced engineers, data scientists, industry and research luminaries and AI specialists in a fast-moving scale-up environment where your work directly impacts people’s well-being. 

Key Responsibilities 

Data Platform Development & Engineering 

  • Assist in the design, development, and maintenance of Spacetalk’s data lakehouse and analytics infrastructure 
  • Support ingestion, transformation, and processing of large-scale health, safety, and location datasets 
  • Implement ETL/ELT pipelines to ensure high-quality, structured, and accessible data for analytics and AI models 
  • Work with AWS services (e.g., S3, Glue, Athena, Quicksight) to build scalable data solutions. 

AI Model Co-Development 

  • Collaborate with data scientists and engineers to build and deploy AI models for event detection and prediction 
  • Assist in developing data processing pipelines that power AI-driven safety features 
  • Help refine and optimise data quality, feature engineering, and model performance 

Insights & Data Exploration 

  • Support exploratory data analysis to uncover insights that enhance Spacetalk’s safety solutions 
  • Develop data visualisation and reporting solutions using AWS Quicksight (preferred) or other BI tools 
  • Ensure data accuracy, governance, and compliance with privacy and security standards (SOC2, HIPAA, GDPR) 
  • Partner with Regulatory and Security teams to ensure our products adherence to data security and privacy standards (SOC2, HIPAA, GDPR). 

You are a curious and motivated data engineer with a passion for leveraging data to create meaningful, real-world impact. You thrive in hands-on roles and enjoy collaborating with cross-functional teams to bring data-driven solutions to life. 

Key Skills & Experience 

Essential 

  • Strong Python programming skills for data engineering and ETL workflows.  
  • Experience with SQL databases and query optimisation as well as no-SQL datastores (e.g. Dynamo). 
  • Hands-on experience working with AWS data services (S3, Glue, Athena, Lambda) 
  • Interest in AI/ML-driven applications and data-driven product development 

Highly Desirable 

  • Experience with AWS Quicksight or other BI/visualisation tools. 
  • Familiarity with C or TypeScript for integrating data solutions into broader engineering efforts 
  • Understanding of data modelling, governance, and compliance frameworks 
  • Exposure to predictive analytics, AI, or machine learning workflows 

  • Impact: Be part of a team building cutting-edge AI-driven safety solutions to ensure loved ones are connected happy, healthy and safe. 
  • Global Reach: Work on products used in Australia, Europe, and the US. 
  • Tech Innovation: Be part of a scale-up transformation, building cutting-edge data and AI solutions. 
  • Career Growth: Work in a high-growth, ASX-listed technology company 

Why Join Us?  

At Spacetalk, we believe in innovation, integrity, and a customer-first approach in everything we do. As we expand globally, we are committed to delivering best-in-class products that improve the lives of our users. Our Values—Innovate, Engage & Elevate are embedded in how we work and grow together as a team. You’ll be joining a company at the forefront of family safety technology, with the chance to drive impactful change in how we deliver connected, data-driven solutions to our customers globally.  

Apply today and help Spacetalk achieve its vision of becoming a leader in family safety technology powered by data and insight.  

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$70000K
$90000K

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What You Should Know About Product Data Engineer, Spacetalk

Join Spacetalk as a Product Data Engineer and embark on a journey where data meets innovation! At Spacetalk, an ASX-listed technology company, we are committed to enhancing lives with our cutting-edge connected mobile services and wearables designed for families and seniors. In this pivotal role, you will help shape our data capabilities as we transition to a software-first SaaS model driven by the power of data, AI, and predictive analytics. You’ll dive into exciting projects such as optimizing our data lakehouse and co-developing AI models that enhance user safety. Imagine working alongside experienced engineers and data scientists in a fast-paced, impactful environment where your contributions directly influence the well-being of people worldwide. You will be responsible for everything from designing scalable data solutions using AWS to creating data visualizations that reveal vital insights. This is not merely a job; it's a gateway to career growth in a field that matters deeply. If you are a motivated data engineer who thrives in hands-on roles and loves collaborating with cross-functional teams to create real-world impact through technology, then Spacetalk is the place for you. Apply today and be part of a team dedicated to innovation and excellence in family safety technology across the globe!

Frequently Asked Questions (FAQs) for Product Data Engineer Role at Spacetalk
What are the primary responsibilities of a Product Data Engineer at Spacetalk?

As a Product Data Engineer at Spacetalk, your primary responsibilities will revolve around developing and maintaining the data lakehouse and analytics infrastructure. You will work on ingesting, transforming, and processing large-scale datasets, running ETL/ELT pipelines to ensure data quality and accessibility for AI models. Additionally, you will collaborate with data scientists to co-develop AI models that enhance safety features, ensuring compliance with data governance standards.

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What qualifications are required to be a Product Data Engineer at Spacetalk?

To qualify for the Product Data Engineer position at Spacetalk, candidates should possess strong Python programming skills for data engineering and ETL workflows, alongside experience with SQL and no-SQL databases. Hands-on experience with AWS data services such as S3, Glue, and Athena is essential, and familiarity with AI applications will greatly enhance your profile in this dynamic role.

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How does the role of a Product Data Engineer impact family safety technology at Spacetalk?

The role of a Product Data Engineer at Spacetalk significantly impacts family safety technology by providing data-driven insights that lead to the development of innovative safety solutions. By engineering data processing pipelines and supporting AI model co-development, you will contribute to creating tools and services that keep families connected, happy, and safe, making a real difference in people’s lives.

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What technical skills are preferred for the Product Data Engineer role at Spacetalk?

Preferred technical skills for the Product Data Engineer role at Spacetalk include expertise in AWS Quicksight or other BI tools for data visualization, familiarity with languages like C or TypeScript, and a solid understanding of data modeling and compliance frameworks. Experience with predictive analytics and AI/ML workflows is also highly desirable.

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Why should I consider applying for the Product Data Engineer position at Spacetalk?

Applying for the Product Data Engineer position at Spacetalk means joining a rapidly evolving ASX-listed technology company at the forefront of family safety technology. You will have the opportunity to work on innovative projects with a global reach, benefiting from career growth in a high-impact role, and contribute to solutions that genuinely improve lives.

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Common Interview Questions for Product Data Engineer
Can you describe a project where you implemented an ETL pipeline?

When responding, focus on your specific role in the project, the tools and technologies you used, the challenges you faced, and how you overcame them. Emphasize results, such as improved data quality or efficiency gains.

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What AWS services have you used in past data engineering projects?

Be specific about the AWS services you have worked with—such as S3 for storage or Glue for ETL processes. Discuss how these services contributed to your projects and what you learned while using them.

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How do you ensure data quality when building data solutions?

Talk about methods you've employed to validate and cleanse data, such as automated testing, data profiling, or implementing best practices in data governance. Highlight your commitment to maintaining high data standards.

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What role does collaboration play in your work as a data engineer?

Share examples of how you’ve collaborated with data scientists, product teams, and other stakeholders. Discuss how effective communication and teamwork led to better project outcomes in your experiences.

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Can you explain a complex database query you optimized?

Provide a detailed explanation of the query's complexity, the issues it presented, and the specific approaches you took to optimize it. Highlight the performance improvements achieved as a result.

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What experience do you have with AI/ML model development?

Discuss your experience with data preparation for AI/ML models, your understanding of feature engineering, and any particular models you’ve worked on. If applicable, mention collaboration with data scientists in your role.

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How do you stay updated with the latest data technologies and trends?

Mention various resources you utilize, such as online courses, tech blogs, webinars, or professional networks. Highlight your commitment to continuous learning and professional development in the data field.

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Describe a time when you had to comply with data privacy regulations.

Share a specific instance where you had to ensure compliance, detailing the regulations involved, your approach to meeting those standards, and the outcome for the project or company.

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What data visualization tools have you used, and how did they benefit your team?

Provide examples of data visualization tools you've worked with, such as AWS Quicksight, and explain how you used them to create insights that informed key business decisions. Discuss the impact on your team’s ability to communicate data effectively.

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Why do you want to work at Spacetalk as a Product Data Engineer?

Articulate your passion for Spacetalk’s mission and values. Connect your career aspirations with the role’s responsibilities and the company’s commitment to family safety technology, showing genuine enthusiasm for contributing to the team.

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Spacetalk Ltd. (ASX: SPA) is a global technology provider of secure communication solutions for families to stay connected and protected. Spacetalk's range of all-in-one smartphone GPS watches for children (Spacetalk Kids and Spacetalk Adventure...

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Full-time, on-site
DATE POSTED
April 4, 2025

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